New AI model improves accuracy of food contamination detection
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria. Current methods often require specialized expertise and are time consuming — taking several days to a week.
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